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particularly valuable. Documented experience with machine learning and biostatistics is also highly meritorious.You can find information about education at postgraduate level, eligibility requirements and
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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computer graphics. Great emphasis will be placed on personal qualities and suitability. Your workplace You will belong to The scientific visualization group that is a part of Media and Information
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areas, engaging in both theoretical and experimental research in: Data-driven and learning based control - Data-driven adaptive motion planning - Cognitive reasoning, symbolic knowledge representation
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2D materials, coatings, nanomaterials, and metal machining. A key focus is improving the sustainability of AM by studying powder degradation and enhancing powder reuse and recycling. We are now seeking
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environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control
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, structural biology, and NMR spectroscopy. The successful candidates will become a part of an international multidisciplinary environment and will receive ample opportunities for learning, collaboration and
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characterisation to machining of primarily metals. We employ a range of technologies - powder metallurgy, electroplating, additive manufacturing and material removal - and a range of advanced characterisation
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Galileo missions and the Hubble Space Telescope. This project uses computer simulations to study plume-plasma interactions and compares results with spacecraft data. The project leader is Associate